CDR Mapping Observatory

The CDR Mapping Observatory is an automated literature surveillance system tracking publications relevant to the COMECT (Community of Meta-analysts for Evidence-based Clinical Trials) portfolio of living systematic reviews. It continuously monitors the scientific literature, screening new publications and surfacing those most likely to be relevant to each meta-analysis.

Use the Publication Browser tab to search, filter, and explore the collected publications. Each publication is associated with one or more meta-analyses in the COMECT portfolio and can be reviewed by the working group. Use the meta-analysis filter to narrow publications to a specific review.

Currently the CDR Observatory includes publications.

Navigation guide
Publication Space
Three visualisations comparing the 10 COMECT reviews: a pairwise Jaccard overlap matrix, and the pairwise review overlap.
PRISMA
PRISMA flow diagram summarising the number of records identified, screened, and included or excluded at each stage of the literature screening process.
Publication Browser
Search, filter, and explore all publications collected across the COMECT portfolio. Filter by meta-analysis, screening status, or free text. Download selections as Excel.
Abstract Screening
Manually screen publications at abstract level. Assign accept or reject decisions per review. The screening model is trained on these labels to prioritise future papers.
Study Record Browser
Browse structured study records linked to individual meta-analyses. Filter by PICO elements and review assignment to locate specific studies.
Full-text Screening and Extraction
Work through full-text papers accepted at abstract screening. Browse papers one by one with prev/next navigation, adjustable font size, and quick full-text screening status filters.
Extraction Overview
Table of all full-text-accepted papers with extraction tags as configurable columns. Add, remove, and reorder columns. Default columns show country, pathogen, and enrollment dates. Supports sort, filter, and CSV export.
Visualisations
Charts summarising the collection: publication trends over time, screening outcomes by review, and distribution of study types across the portfolio.
Contributors

The contributors to the manual supervision and training of all automation are members of the University of Verona ID-CARE team, led by Prof. Evelina Tacconelli.

Jessica Malzhan
Alessandra Nazeri
Catherine Fleming
Matteo Morra
Alessandro Visentin
University of Verona ID-CARE COMECT Cohort Coordination Board
Publication Browser

This diagram follows the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) reporting standard, showing how records were identified, screened, and included at each stage of the review process.

Study Record Browser
Select a pathogen to visualise
Use the filter on the left to choose a pathogen group.

Publication space

How much do the individual reviews overlap, what time periods do they cover, and when were papers discovered?

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